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\nMachine Learning Systems Design with Sara Hooker: Fundamental architectural constraint\n

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\n\nPublisher:\n\nde Dicto\n\n\n
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\nLearn of fundamental architectural constraints and the patterns that most models find important and how fundamentally different they are from the patterns a human would expect to be important.Machine Learning Systems Design with Sara...\nLearn of fundamental architectural constraints and the patterns that most models find important and how fundamentally different they are from the patterns a human would expect to be important.
Machine Learning Systems Design with Sara Hooker, Part 3\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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3:39
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Grade
Higher Ed
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Subjects
STEM
3 more...
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Media Type
Instructional Videos
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Source:
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\nde Dicto\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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differences, data, memorization, artifacts, details, patterns, inputs
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Additional Tags

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nlp, natural language processing, language, machine learning, ai, pragmatic considerations, developers, convolutional neural network, sara hooker, algorithmic bias, saliency, artefacts, deep neural networks, probabilistic architecture, agi, daniel d'souza, chirag agarwal, zach nussbaum, large datasets, test set, ai safety, small differences, data set, training, find, fundamentally, important, found, good, larger, taking, longer, long, model, models, advantage, learn, early, reason, trained, inducing
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Classroom Considerations

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